NDLI: Cortical architecture and self-referential control for brain-like processing in artificial neural systems

Content Provider	Springer Nature Link
Author	Koerner, Edgar Matsumoto, Gen
Copyright Year	1998
Abstract	Progress in understanding the way the brain processes information while it is constantly interacting with the sensory environment is hampered by inadequate models and theories. Current models and theories of brain computing are, obviously, still not completely correct when confronted with so-called real-world problems. Sensory recognition and the subsequent selection and optimization of a proper behavior are basically constraint satisfaction problems. Both conventional AI and current formal neural network systems operate with set constraints: the architecture and parameters are defined a priori and then the input data are structured according to these set constraints on the learning process. However, as long as the constraints are set from outside the system (by the programmer, designer), the system has no ability for self-organization. There is the ability for adaptation within these a priori defined limits, but not the ability to include new knowledge into the consistent relational framework of existing knowledge beyond the prespecified constraints. Therefore, self-organization of constraints in complex systems is the key problem for getting self-organization of knowledge representation under real-world conditions. We show that a value system and self-referential control in a modular architecture are crucial prerequisites for both robust recognition of sensory input and the ability to integrate new knowledge into the already acquired knowledge representation. Finally, we outline a philosophy and propose a model approach that is a first step toward implementing those capabilities in artificial neural systems.
Starting Page	170
Ending Page	178
Page Count	9
File Format	PDF
ISSN	14335298
Journal	Artificial Life and Robotics
Volume Number	2
Issue Number	4
e-ISSN	16147456
Language	English
Publisher	Springer-Verlag
Publisher Date	1998-01-01
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Artificial neural systems Self-referential control A-priori knowledge Top-down self-organization Emotion-based value system Computation by Abstract Devices Artificial Intelligence (incl. Robotics) Automation and Robotics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Biochemistry, Genetics and Molecular Biology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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